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Optimized Time-dependent Hamiltonian Evolution Quantum Solver for Power System Transient Computations

Jiyuan Liu, Mengdi Sun, Yongming Tang, Baoping Wang, He Li

Design Automation Conference (DAC) 2026
CCF-A Conference | ACM & IEEE | Established 1964
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Abstract

Quantum algorithm implementations for time-dependent ordinary differential equations (ODEs) typically require solving time-dependent Hamiltonian evolution problems, often leading to prohibitive computational complexity. Discretizing into time-independent Hamiltonian evolution introduces significant errors.

This paper presents an Optimized Hamiltonian Quantum Solver (OHQS) that constructs iterative time-independent Hamiltonian evolution quantum circuits through discretized spacetime mapping transformations. Our approach employs a spatiotemporal fixed-point-based automatic optimizer to effectively reduce discretization errors without requiring complex time-dependent Hamiltonian evolution circuit solutions. The proposed method is applied to power system transient computations.

OHQS Flowchart

Figure: The proposed Optimized Hamiltonian Quantum Solver (OHQS) framework

Affiliations:
School of Electronics Science and Engineering, Southeast University
HIQC Research Group
First author: Jiyuan Liu (PhD Student)
Corresponding author: Prof. He Li
Collaborators: Prof. Baoping Wang, Prof. Yongming Tang, Assoc. Prof. Mengdi Sun